Mistral: Mistral Nemo

Mistral Nemo, a 12B parameter multilingual model developed by Mistral in collaboration with NVIDIA, demonstrates exceptional speed and competitive pricing. It consistently ranks among the fastest models, achieving an Infinityth percentile across nine benchmarks, and offers highly competitive pricing, ranking in the 97th percentile across eight benchmarks. The model also exhibits strong reliability with a 91% success rate. In terms of benchmark performance, Mistral Nemo excels in Ethics, achieving perfect 100% accuracy and earning accolades for being the most accurate model at its price point, fastest among models of comparable accuracy, and having the best accuracy-to-cost ratio. It also shows a strong performance in Coding (79.0% accuracy) and Email Classification (93.0% accuracy). However, the model struggles significantly with Instruction Following, showing 0.0% accuracy in one test and 37.0% in another, and performs poorly in Mathematics (15.0% accuracy) and Reasoning (28.0% accuracy). Its hallucination rate is moderate at 62.0% accuracy, indicating room for improvement in acknowledging uncertainty. Despite some weaknesses, its multilingual support and function calling capabilities, combined with its speed and cost-effectiveness, make it a compelling option for specific applications.